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belief_NN
- A neural network classifier based on Dempster-Shafer theory
IPToolbox
- 这是一个国外的DST的Matlab工具箱，很全面的反映了dempster-shafer理论，是学习DST的权威工具箱
DST
- DS证据推理的原始Dempster组合公式计算函数，详细使用见该文件内的帮助说明-DS evidential reasoning of Dempster combination formula original function, see the document in detail the use of the help that
belief_NN
- A neural network classifier based on Dempster-Shafer theory
IPToolbox
- 这是一个国外的DST的Matlab工具箱，很全面的反映了dempster-shafer理论，是学习DST的权威工具箱-This is a foreign DST toolbox of Matlab, it is a comprehensive reflection of dempster-shafer theory, is to learn from the authority of DST Toolbox
IPPToolbox
- exemple Dempster shafer
smets
- dempster shafer fusion
amsp
- fusion data demster shafer theory
evidence-theory-conflict-factor-k
- 证据理论Dempster规则中冲突因子K的求取。自己编的哦！-DEMPSTER-SHAFER EVIDENCE THEORY K
GeneralBeliefFunctionsFramework
- Matlab, Fusion with Dampster-Shafer Theory
Artificial-Intelligence-DEMPSTER-SHAFER
- Artificial Intelligence with DEMPSTER-SHAFER
DS_fusion
- DS证据，功能：融合x,y两行向量(经典Dempster-Shafer组合公式)-DS evidence features: integration of x, y two row vectors (classical Dempster-Shafer combination formula)
Dempster-Shafer
- 使用经典Dempster-Shafer组合公式融合x,y两行向量-fusion row vector x with row vector y using Dempster-Shafer
Dempster-Shafer-master
- Support for normalized as well as unnormalized belief functions Different Monte-Carlo algorithms for combining belief functions Various methods related to the generalized Bayesian theorem Measures of uncertainty Meth
simple DS
- 经典证据理论融合公式，用于对两个数据源进行初级融合，效果较好(Dempster-Shafer.The fusion formula of classical evidence theory is used for primary fusion of two data sources, and the effect is good.)